Essays about: "händelsedetektering"

Found 4 essays containing the word händelsedetektering.

  1. 1. Graph Neural Networks for Events Detection in Football

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Giovanni Castellano; [2023]
    Keywords : Machine Learning; Graph Neural Network; Recurrent Neural Network; Trajectory Data; Football; Events Detection; Maskininlärning; Graph Neural Network; Recurrent Neural Network; Bandata; fotboll; händelsedetektering;

    Abstract : Tracab’s optical tracking system allows to track the 2-dimensional trajectories of players and ball during a football game. Using this data it is possible to train machine learning models to identify events that happen during the match. READ MORE

  3. 2. Sequential Deep Learning Models for Neonatal Sepsis Detection : A suitability assessment of deep learning models for event detection in physiological data

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Henrik Alex Siren; [2022]
    Keywords : Neonatal sepsis; Deep learning; Recurrent models; Convolutional models; Physiological data; Neonatal sepsis; Djupinlärning; RNN-modeller; CNN-modeller; Fysiologisk data;

    Abstract : Sepsis is a life-threatening condition that neonatal patients are especially susceptible to. Fortunately, improved bedside monitoring has enabled the collection and use of continuous vital signs data for the purpose of detecting conditions such as sepsis. READ MORE

  4. 3. Implementation and Evaluation of In- Band Network Telemetry in P4

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Mandar Joshi; [2021]
    Keywords : In- Band Network Telemetry; P4; Programmable Data Plane; Software- Defined Networking; Network Monitoring Management; Intel Tofino; Nätverkstelemetri; P4; Programmerbar Dataplan; Mjukvarudefinierade Nätverk; Nätverksövervakning Hantering; Intel Tofino;

    Abstract : As computer networks grow more complex as the number of connected devices increases, the monitoring and management of such networks also increases in complexity. Current network monitoring tools such as NetFlow, sFlow, ping, traceroute, and tcpdump prove to be both tedious and offer low accuracy when reporting the network state. READ MORE

  5. 4. Method for Event Detection in Mechatronic Systems Using Deep Learning

    University essay from KTH/Mekatronik

    Author : Edvin von Otter; William Bruce; [2018]
    Keywords : ;

    Abstract : Artificial Intelligence and Deep Learning are new drivers for technological change, and finds their way into more and more applications. These technologies have the ability to learn com-plex tasks previously hard to automate. READ MORE